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Author, Editor

Author(s):

Gall, Jürgen
Lempitsky, Victor

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Not MPG Author(s):

Lempitsky, Victor

Editor(s):





BibTeX cite key*:

Gall2009c

Title, Booktitle

Title*:

Class-Specific Hough Forests for Object Detection

Booktitle*:

2009 IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2009

Event, URLs

URL of the conference:

http://www.cvpr2009.org/

URL for downloading the paper:

http://dx.doi.org/10.1109/CVPR.2009.5206740

Event Address*:

Miami, Florida

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

20 June 2009

Event End Date:

25 June 2009

Publisher

Name*:

IEEE

URL:


Address*:

Piscataway, NJ

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:


Pages:

1022-1029

Year*:

2009

VG Wort Pages:

27

ISBN/ISSN:

978-1-4244-3992-8

Sequence Number:


DOI:

10.1109/CVPR.2009.5206740



Note, Abstract, ©


(LaTeX) Abstract:

We present a method for the detection of instances of an
object class, such as cars or pedestrians, in natural images.
Similarly to some previous works, this is accomplished via
generalized Hough transform, where the detections of individual
object parts cast probabilistic votes for possible
locations of the centroid of the whole object; the detection
hypotheses then correspond to the maxima of the Hough
image that accumulates the votes from all parts. However,
whereas the previous methods detect object parts using generative
codebooks of part appearances, we take a more discriminative
approach to object part detection. Towards this
end, we train a class-specific Hough forest, which is a random
forest that directly maps the image patch appearance
to the probabilistic vote about the possible location of the
object centroid. We demonstrate that Hough forests improve
the results of the Hough-transform object detection significantly
and achieve state-of-the-art performance for several
classes and datasets.



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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Gall2009c,
AUTHOR = {Gall, J{\"u}rgen and Lempitsky, Victor},
TITLE = {Class-Specific {Hough} Forests for Object Detection},
BOOKTITLE = {2009 IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2009},
PUBLISHER = {IEEE},
YEAR = {2009},
PAGES = {1022--1029},
ADDRESS = {Miami, Florida},
ISBN = {978-1-4244-3992-8},
DOI = {10.1109/CVPR.2009.5206740},
}


Entry last modified by Anja Becker, 03/22/2010
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Editor(s)
[Library]
Created
03/24/2009 06:33:59 PM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Anja Becker
Thomas Schultz
Jürgen Gall
Edit Dates
22.03.2010 14:26:20
17.03.2010 14:36:16
04/06/2009 04:59:58 PM
03/24/2009 06:33:59 PM
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